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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 2534
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    Explanations

    phrases related to tracking, particularly in the context of technology or physical locations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    484
    +0.16
    0.5%
    167
    +0.16
    0.5%
    288
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.16
    0.06
    288
    +0.16
    0.07
    575
    +0.15
    0.06
    Negative Logits
    osate
    -0.94
    acco
    -0.93
     pand
    -0.92
    aples
    -0.91
    ately
    -0.88
    raham
    -0.87
    ALLY
    -0.86
    osi
    -0.86
    osion
    -0.84
    ince
    -0.83
    POSITIVE LOGITS
    suit
    1.57
    suits
    1.43
    track
    1.32
    masters
    1.31
    tracks
    1.30
    pad
    1.26
     Tracks
    1.24
    ball
    1.23
    balls
    1.19
    downs
    1.17
    Activations Density 1.057%

    No Known Activations